Job Description:

• Analyze the coverage, completeness, and quality of Dodge’s digital construction data sources to identify gaps and prioritization opportunities
• Design and maintain sharable SQL queries or python notebooks, dashboards, and reporting frameworks that surface actionable trends and sourcing performance
• Investigate data anomalies and exceptions to identify root causes and recommend corrective actions
• Research, assess, and onboard new digital data sources which could include APIs, web monitoring tools, scraping workflows, and third-party data feeds.
• Evaluate data acquisition methods for feasibility, cost, coverage, and quality
• Support and document scalable workflows for data acquisition and exception handling
• Develop and maintain SOPs for source collection and research.
• Support UAT and QA testing for new technical releases and system changes
• Partner with offshore teams to coordinate task execution, provide guidance, and QA outputs
• Perform web research and validate web sources for usefulness and reliability
• Identify and resolve detection errors, including broken links, redirects, HTTP errors, session timeouts, and access restrictions
• Partner with Product and Technology teams to align sourcing strategy and roadmap priorities

Requirements:

• 4+ years of experience in programming, data analysis, digital sourcing, data operations, or related technical roles
• Strong analytical and problem-solving skills with attention to detail
• Comfortable working with incomplete or inconsistent data and can drive process in evolving problem spaces
• Experience following and contributing to SOPs, quality frameworks, or operational workflows
• Experience with Python, SQL, and/or other programming languages
• Ability to identify patterns in data and translate findings into clear, actionable recommendations
• Strong written and verbal communication skills
• Experience working in cross-functional or distributed team environments, including coordination with offshore or vendor teams

Benefits: